Shopping marketplace analysis based on customer insights using social media analytics.

MethodsX

School of Business, Social & Decision Sciences, Constructor University Bremen, Campus Ring 1, 28759, Bremen, Germany.

Published: December 2024

AI Article Synopsis

  • * The research includes a literature review on how data analytics is applied to social media and sales strategies to build effective marketplaces.
  • * A conceptual model is proposed to extract insights from social media and customer feedback, helping to understand shopping experiences and decision-making factors for purchases.

Article Abstract

Using the recent advances in data analytics, Companies can leverage sentiment analysis to identify trends and areas for improvement of their market strategy and operation planning. This analysis allows them to understand the sentiments expressed by customers and accurately predict customer behavior. Social media platforms have fundamentally altered the field of digital marketing. The findings of this research try to provide:••The paper has conducted a literature review around main pillars like application of data analytics on social media, and sales strategies for establishing a marketplace using data analytics. Exploring the utilization of social media and customer feedback, the paper has proposed a conceptual model for creating insights for extraction of shopping experiences and factors used for customer purchasing decision making.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11326919PMC
http://dx.doi.org/10.1016/j.mex.2024.102868DOI Listing

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